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Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study
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Utility of the LIBRA Index in Relation to Cognitive Functioning in a Clinical Health Seeking Sample
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Artificial intelligence for dementia prevention
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Predicting Diagnosis of Alzheimer’s Disease and Related Dementias Using Administrative Claims
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Regional associations of white matter hyperintensities and early cortical amyloid pathology
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“Current evidence suggests that the optimal window of opportunity for primary prevention of dementia is between 60 and 77 years [30,31].”
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Prevention Matters: Time for Global Action and Effective Implementation
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Time‐to‐event prediction using survival analysis methods for Alzheimer's disease progression
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The Effect of Baseline Patient and Caregiver Mindfulness on Dementia Outcomes
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Metadata
- Authors
- Kivipelto, M., Ngandu, T., Laatikainen, T., Winblad, B., Soininen, H., & Tuomilehto, J.
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2006-09
- Volume
- 5
- Issue
- 9
- Pages
- 735-741
- ISSN
- 1474-4422 (ISSN-L)
- OpenAlex
- W2098706789
- Cited by
- 1,126
- References
- 11
- FWCI
- 15.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.